Teaching Assistant - AI/ML | Part - Time | Odia

About the Opportunity Masai School , in academic collaboration with a premier institute, is looking for an experienced Teaching Assistant – Artificial Intelligence & Machine Learning to support learners enrolled in an online AI/ML program. As a Teaching Assistant, you will work closely with learners to help them understand AI/ML concepts, solve technical doubts, debug code, and apply their learning through practical projects . This is a great opportunity for AI/ML professionals who enjoy teaching, mentoring, problem-solving, and helping others build strong technical foundations . Institution: Masai School, in academic collaboration with a premier institute Program: Artificial Intelligence & Machine Learning Time Commitment: 6–8 hours per week Key ResponsibilitiesTeaching & Doubt Resolution • Conduct weekly doubt-solving and tutorial sessions in Odia . • Help learners understand AI/ML concepts, Python programming, and machine learning workflows . • Simplify complex technical concepts using practical examples. • Support learners with coding challenges, assignments, and AI/ML projects. • Help learners troubleshoot and debug Python and ML implementations. Technical & Academic Support • Guide learners on data preprocessing, feature engineering, model selection, training, and evaluation . • Support learners with Supervised and Unsupervised Learning concepts and algorithms. • Help learners understand and implement ML models using Scikit-learn, PyTorch, or TensorFlow . • Guide learners in understanding model performance and improving their ML solutions. • Help learners understand basic model deployment and production workflows . Project & Industry Support • Help learners build practical AI/ML projects and portfolios . • Review learner code, notebooks, assignments, and projects. • Provide actionable technical feedback to improve project quality. • Share real-world AI/ML use cases and industry practices. • Guide learners on standard ML tools, libraries, workflows, and development practices. • Help learners understand concepts such as model evaluation, feature engineering, overfitting, optimization, and deployment . Learner Engagement • Provide regular feedback and technical guidance to learners. • Encourage learners to actively participate in sessions and discussions. • Track learner progress and highlight technical challenges to the academic team. • Support learners in completing projects and overcoming technical blockers. • Contribute feedback to improve the learning experience and course delivery. Candidate Requirements Must Have • 2+ years of hands-on experience in Artificial Intelligence / Machine Learning. • Strong Python programming skills. • Good understanding of: • Data preprocessing and feature engineering • Supervised and unsupervised learning • ML algorithms and model evaluation • Basics of deep learning • Hands-on experience with NumPy, Pandas, Scikit-learn , and TensorFlow or PyTorch . • Practical experience working on AI/ML projects . • Prior experience in teaching, mentoring, training, or technical support . • Strong Odia communication skills with the ability to explain technical concepts clearly. Good to Have • Experience with ML model deployment or production workflows . • Familiarity with MLOps and Docker . • Experience with NLP or Computer Vision projects. • Familiarity with Git, Jupyter, and cloud platforms . • Experience conducting technical interviews or assessments. • Experience reviewing ML projects, portfolios, or resumes. • Experience mentoring students, developers, or early-career professionals. Why Join Us? • Make a direct impact on learners building careers in AI and Machine Learning . • Help learners build practical, industry-relevant AI/ML projects . • Work remotely with a flexible 6–8 hours per week commitment. • Collaborate with Masai School and a premier academic institution. • Share your industry experience while developing your teaching and mentoring skills. • Stay connected with evolving AI/ML technologies and industry practices .